Andrew Perrin <andrew_perrin at unc.edu> writes:
> My apologies if this is obvious - I assume it is but still can't seem to
> make it work.
>> I've got a data frame acps.df; I want to run an analysis on a subset of
> that data frame, defined as the subset for which the value of OGMCAT (a
> column in the data frame) is anything OTHER than 9, 11, or 12. So I'd
> like to define a new data frame that consists of the same variables as in
> acps.df, but without those cases. I tried this:
>> > acps.nopg.df<-acps.df[(acps.df$OGMCAT != 9) & (acps.df$OGMCAT != 11) &
> (acps.df$OGMCAT != 12)]
>> but got this:
>> Error in "[.data.frame"(acps.df, (acps.df$OGMCAT != 9) & (acps.df$OGMCAT
> != :
> undefined columns selected
>> Thanks for any advice.
Looks like you need a comma in the indexing there. Indexing a data
frame by a single index means that you are selecting columns, so you
need two, the second one of which is empty.
BTW, this stuff is easier written as:
acps.nopg.df<-acps.df[acps.df$OGMCAT %in% c(9,11,12),]
--
O__ ---- Peter Dalgaard Blegdamsvej 3
c/ /'_ --- Dept. of Biostatistics 2200 Cph. N
(*) \(*) -- University of Copenhagen Denmark Ph: (+45) 35327918
~~~~~~~~~~ - (p.dalgaard at biostat.ku.dk) FAX: (+45) 35327907
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